| Popis: |
The inclusion of genomic information into genetic evaluations has been shown to be beneficial for big and well-connected populations, such as dairy cattle. However, for small populations with lower use of artificial insemination, it is necessary to consider their specific characteristics to study the possible advantage of using genotyped individuals. So, the aim of this work is to compare the effect of different genotyping strategies in terms of the accuracy of the predictions, based on the data structure of two dairy sheep breeds, Latxa Cara Rubia (LCR) and Latxa Cara Negra from Euskadi (LCNEUS). To do so, a population was simulated using a base of real pedigree and genotypes of 374 LCNEUS and 451 LCR animals genotyped with the Illumina OvineSNP50 BeadChip. The obtained phenotypic and genotypic data were used into genetic (BLUP) and genomic (ssGBLUP) evaluations for milk yield. For each breed, the genotypes of 1000 males with progeny data were simulated and young rams without phenotypic data were used as validation group. No gain in accuracy was found, resulting in almost the same accuracy into both methodologies (0.46 LCNEUS and 0.53 LCR), which is probably conditioned by lacking genealogy. So, more studies are being done to understand if the percentage of missing genealogy or the data structure are affecting these results. Also, the benefits of natural service rams and females genotyping will be studied. |
